NASA Jet Propulsion Laboratory

Data Analyst

• Lead independent research within a collaborative team using machine learning and process-based models to generate regional and global products
• Advance understanding of drivers of carbon stock change
• Conduct geospatial analysis of climate, disturbance, fire fuel loads, and biomass/carbon dynamics across tropical forests
• Analyze the accuracy of forest biomass change maps using satellite, airborne, and forest inventory inputs
• Develop advanced machine learning models, including generative and foundational AI, to map time series of biomass change from airborne and satellite data
• Develop, implement, and document algorithms and reproducible code for data processing, analysis, and science-product generation
• Lead preparation of peer-reviewed publications
• Present results to interdisciplinary teams and stakeholders

Explore Postdoc – Remote Sensing Data Analytics for Mapping and… at NASA Jet Propulsion Laboratory. Review requirements and application details.

NASA Jet Propulsion Laboratory

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Postdoc – Remote Sensing Data Analytics for Mapping and Modeling Forest Carbon Change and Vulnerability to Climate